The strip crown plays a crucial role in determining the quality of products in strip hot rolling.
Machine learning (ML) methods have shown promise in crown prediction by effectively …

Currently, most chemical transmission equipment relies on bearings to support rotating
shafts and to transmit power. However, bearing defects can lead to a series of failures in the …

Infrared and visible image fusion represents a significant segment within the image fusion
domain. The recent surge in image processing hardware advancements, including GPUs …

Fabrics play a pivotal role in human life and production, and surface defects can directly
affect the quality and value of fabrics. Many methods for fabric defect detection have been …

Because turbine blades are essential parts of aircraft engines, micro-defects on the surface
of turbine blades induce accidents in aircraft crashes. The detection of micro-defects in …

In recent years, deep learning has made significant progress in wood panel defect detection.
However, there are still challenges such as low detection, slow detection speed, and …

Human eyes generally perform product defect inspection in Indonesian industrial production
lines; resulting in low efficiency and a high margin of error due to eye tiredness. Automated …

Most of the existing studies on roll surface defects focus on qualitative detection and lack
quantitative analysis, while the commonly used methods for detecting the three-dimensional …

Quantitative measurement of smartphone screen scratches is crucial for pricing in the used
smartphone market. Traditional manual visual inspection methods suffer from inherent …

Tyre defects can pose safety hazards and increase maintenance costs. To address this
issue, lyre defect detection using digital image processing and convolutional neural …